code: def __init__(self, config):
      super().__init__(config)
      self.transformer = GPTJModel(config)
      init(self.transformer)
  
      self._init_head_modules()
  
      self.init_weights()
  
      # Model parallel
      self.model_parallel = False
      self.device_map = None
  
file_path: adapters/src/adapters/models/gptj/adapter_model.py
imports: import logging
  import torch
  from transformers.models.gptj.modeling_gptj import GPTJ_START_DOCSTRING, GPTJModel, GPTJPreTrainedModel
  from transformers.utils import add_start_docstrings
  from ...composition import adjust_tensors_for_parallel
  from ...heads import CausalLMHead, ClassificationHead, ModelWithFlexibleHeadsAdaptersMixin, MultiLabelClassificationHead, QuestionAnsweringHead, TaggingHead
  from ...model_mixin import EmbeddingAdaptersWrapperMixin
  from ...wrappers import init
label_desc: Use image node_id 1 to create a new GPTJAdapterModel object from inherited base classes: EmbeddingAdaptersWrapperMixin, ModelWithFlexibleHeadsAdaptersMixin, GPTJPreTrainedModel with example: obj = GPTJAdapterModel(config)